If you’re a Masters degree holder and seeking Fully Funded PhD Programs, Delft University of Technology (TU Delft), Netherlands has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.
1. Fully Funded PhD Position in Foil/silicon 4T Modules with Smart Power Optimizers and Related Energy Yield Modeling
Summary of PhD Program:
Developing high-efficiency four-terminal (4T) tandem photovoltaic (PV) modules is essential for increasing the efficiency and adaptability of solar energy systems in applications such as urban PV installations and solar-powered vehicles. By addressing current and voltage imbalances and optimizing power output for real-world conditions, this research can significantly advance the custom-integrated PV products market, supporting sustainable energy solutions for buildings and the automotive industry.
Application Deadline: September 1, 2024
2. Fully Funded PhD Position in Circular Timber Structures: Zero-Waste Design and Construction of Structural Systems from Local and Underutilised Wood Sources
Summary of PhD Program:
As a collaborator on the project, you will develop new zero-waste concepts for structural systems and products from local wood sources, with a specific focus on city wood and reclaimed wood components. To do so, you will review current, historic and innovative practices, co-create and elaborate the zero-waste concepts, and perform physical experiments. The co-creation and physical experimentation will happen in the context of a living lab at The Green Village, a field lab for sustainable construction innovation on the TU Delft campus. In this living lab you will collaborate with multiple actors from the timber construction practice.
Application Deadline: 1st of September, 2024
Follow us for daily updates!
Telegram
3. Fully Funded PhD Position in Muti-Functional Barrier Layers for Reliable Flexible Perovskite PV Cells and Modules
Summary of PhD Program:
The program of the PVMD group builds up expertise in the design and fabrication technology from solar cells to PV systems with their power electronics and storage options. You will contribute to the SolarLab program in the SolarNL project. In this specific project you will study how bi-layered or multi-layered stacks can stop the development of pinholes on flexible substrates. Also, you will improve their opto-electrically properties beyond the fundamental limitations of single layers, such as standard transparent conductive oxides. What fundamental properties make a material suitable as etch-stop barriers (processing)/water barriers(reliability)? This is a project performed within the PVMD group of TU Delft, under supervision of prof. dr. Arno Smets.
Application Deadline: September 1, 2024
4. Fully Funded PhD Position in Systems Security
Summary of PhD Program:
The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in Systems Security. Successful candidates will develop novel methodologies and protocols for increasing the security of lattice-based cryptographic systems. Examples include developing techniques to build efficient and secure multiparty computation and other encryptions. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US.
Application Deadline: September 1, 2024
5. Fully Funded PhD Position in Analysis of Critical Raw Material Demand and Circularity for Dutch Solar PV in a European Context
Summary of PhD Program:
The program of the PVMD group builds up expertise in the design and fabrication technology from solar cells to PV systems with their power electronics and storage options. You will contribute to the SolarLab program in the SolarNL project. In this specific project, you will estimate the future material flows and stock of PV modules with focus on the Netherlands and Europe. This can form a strong basis for guiding policy on sustainable supply and use of PV materials as well as promoting actions on the circularity of PV materials and future technical development. This is a project performed under supervision of dr. Malte Vogt.
Application Deadline: September 1, 2024
Find More PhD Programs
6. Fully Funded PhD Position in Advanced Opto-Electrical Modelling of Bifacial Silicon Heterojunction Solar cells
Summary of PhD Program:
Developing next-generation silicon heterojunction cells involves making design choices that impact cost, efficiency, energy yield, and long-term reliability. By enabling model-informed design choices, this research can significantly enhance the design and production of bifacial silicon heterojunction cells, making them more cost-effective, efficient, and sustainable. You will develop a modelling framework for simulating bifacial silicon heterojunction solar cells based on a multi-scale physics approach that includes analysis at material, device and module level, to improve the efficiency, energy yield, lifetime, and circularity of this technology.
Application Deadline: September 1, 2024
7. Fully Funded PhD Position in reducing transaction costs in a circular infrastructure transition
Summary of PhD Program:
The project aims to improve the viability of circular measures by means of key techniques such as programmatic, industrial and digital techniques. In the infrastructure sector, the costs and benefits for circular construction are not yet sufficiently balanced, partly due to the low frequency and high-threshold transactions. This is a stumbling block because the transactions are quite comprehensive: one transaction carries a lot of impact (material and energy) but also high transaction costs. Primarily, transaction costs are examined with regard to search and information costs, evaluation costs, contract and negotiation costs, and control and compliance costs. These costs will be recorded and who bears these costs.
Application Deadline: September 1, 2024
8. Fully Funded PhD Position in Sustainable Steel Production Modelling Solid Pile Formation in Reduced Electric Furnaces
Summary of PhD Program:
This PhD project aims to describe solid pile formation in a Reduced Electric Furnace. This is a novel approach to producing high-quality green steel, but its large-scale applicability needs to be proven. Can you help achieve this? You will work on developing a Discrete Element Model that describes the feed of pellets in the furnace. The challenge lies in the complex interplay between feeding, melting, and multiphase particulate flow in the slag layer and in the molten hot metal layer. Ultimately, the resulting model will be integrated into larger computational fluid dynamics (CFD) models that encompass the entire furnace system based on your work and the work of other PhDs in the program. Collaboration with industrial partners and researchers from various universities is a key aspect of this project.
Application Deadline: 4 September 2024
9. Fully Funded PhD Position in Modelling Solid Oxide Fuel Cells – Gas Turbine (SOFC-GT) for Aviation
Summary of PhD Program:
We are looking for a highly motivated PhD candidate to work on the EU-funded project HYLENA (HYdrogen eLectrical Engine Novel Architecture). The project aims to investigate, develop, and optimize a groundbreaking hydrogen-powered electrical aircraft propulsion concept. This role involves advanced simulation and dynamic modelling to enhance the efficiency and reliability of the Solid Oxide Fuel Cell-Gas Turbine (SOFC-GT) concept in aerospace applications.
Application Deadline: 6 September 2024
10. Fully Funded PhD Position in Natural Rhythm of Estuaries
Summary of PhD Program:
One large remaining unknown for estuaries is how quickly they respond to environmental change. Equilibrium conditions are fairly well established, and so is the expectation for the direction of estuarine change. Time rates of change, however, are poorly known. Numerical morphodynamic models such as Delft3D are a useful tool to predict fundamental responses of deltas/estuaries to changing boundary conditions and long-term morphodynamic feedbacks. However, model outcomes are hard to test. Recent global datasets of estuaries offer an opportunity. By expanding the number of observations, we can reduce the influence of complicated local field conditions and extract (sometime subtle) rates of change that we can then further explain with numerical models.
Application Deadline: 9 September 2024
Find More PhD Programs
11. Fully Funded PhD Position in Ocean Coastal Trapped Waves
Summary of PhD Program:
Oceanic wave guides are the ocean’s version of a high-speed internet network: they communicate changes in for example sea level and temperature rapidly to other parts of the ocean. Within this category, Coastal Trapped Waves communicate signals along the edge of the continental shelf, along coastlines, along underwater ridges, in and out of fjords, and between the deep ocean and the shallow shelf areas. As a hybrid between internal Kelvin waves (impacted by ocean stratification) and topographic Rossby waves (impacted by bottom slope), they can change their characteristics when propagating into an area with different topography and/or stratification.
Application Deadline: 14 September 2024
12. Fully Funded PhD Position in Impact of Circular Measures on the Life Span of Buildings
Summary of PhD Program:
The doctoral project at Delft University of Technology (research project 2a) is part of the response to the objective, ‘Value of the building that lasts’. This project will study how exchangeability of building functions and uses contribute to increase buildings’ functional lifespan (i.e. reduce functional obsolescence), and how a prolonged lifespan could increase the value of the building. Here we will develop knowledge about adaptive reuse, circularity and building adaptability to expand the lifespan of real estate and contribute to climate adaptation and mitigation.
Application Deadline: September 15, 2024
13. Fully Funded PhD Position in Surrogate-enabled Uncertainty Quantification for Water Quality Modeling
Summary of PhD Program:
This PhD position offers an exciting opportunity to address this challenge by leveraging surrogate modeling techniques. Surrogate models approximate computationally intensive models at reduced cost, enabling uncertainty quantification despite time budget constraints. Recent advances in machine learning techniques also offer promising opportunities to improve surrogate modeling approaches. In this project, you will develop surrogate models tailored to reactive transport models and integrate them into an uncertainty quantification framework.
Application Deadline: 15th of September 2024
14. Fully Funded PhD Position in Physics-Enhanced Machine Learning for Resilient Railway Infrastructures
Summary of PhD Program:
This project aims to improve the resilience of railway infrastructures by leveraging physics-enhanced machine learning. You will integrate state-of-the-art physics knowledge that governs infrastructure mechanics and dynamics with the big data from infrastructure monitoring systems. You will develop innovative physics-enhanced machine learning algorithms and models to address risks and uncertainties associated with the operational and environmental conditions of railway infrastructures. As part of this project, you will engage with railway infrastructure managers to validate your proposed solutions for resilience improvement.
Application Deadline: 15 September 2024
15. Fully Funded PhD Position in New Approaches to Options Valuation for Circular Real Estate
Summary of PhD Program:
The doctoral project at Delft university of Technology (research project 1a) is part of the response to the objective, ‘Quantum inspiration and implementation’. This project will explore improvements to valuation and decision-making of real estate on a multitude of parameters. The aim is to make real estate investment decisions more adaptive, by using the time dimension and real options analysis in valuation methods. Time value of money and real options analyses are strongly affected by linear assumptions in investment calculations, for example through interest rates that are smoothened over time. Quantum mechanics can contribute to break open this linearity, as it conceptualises a non-linear world to pioneer models for capturing value assumptions in dynamic and fuzzy real-world conditions.
Application Deadline: September 15, 2024
16. Fully Funded PhD Position in Implications of as-a-service in Buildings to Value
Summary of PhD Program:
The doctoral project at Delft University of Technology (research project 4b) is part of the response to the objective, ‘Analogue expansion of valuation’. In the circular economy, business models drive future building use potential. One unexplored aspect is the product service system direction. In a very infant stage, some initiatives have been developed that focus on the building as a service. The product service systems approach enables more accountability on the building operation, including e.g. CO2 emissions, because specific services (like elevators, heat systems, or lighting) could be owned and accounted for by service providers. In this context the question arises: what are the implications for the value of the building? This project will explore the implications of product service system applications in buildings on the real estate value.
Application Deadline: September 15, 2024
17. Fully Funded PhD Position in Electrokinetic Studies of Clay/Water Interfaces
Summary of PhD Program:
In this PhD project, the electrokinetic response of polydisperse systems, made of one clay type of various size fractions, will be studied for different volume fractions (from suspensions to porous media), so as to understand the role of each size fraction in the electrokinetic response of a material with a wide pore size distribution.
Application Deadline: 15 September 2024
18. Fully Funded PhD Position in Safe Use of AI in Telecommunication Networks
Summary of PhD Program:
NExTWORKx*is the strategic partnership between the Telecom and ICT service provider KPN and Delft University of Technology. NExTWORKx aims to develop new concepts & technology in telecommunication and artificial intelligence, to respond to new disruptive technologies and to continue the development of talent. NExTWORKx enters its second research phase with a focus on developing and applying concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable monitoring and control. AI-based algorithms will be developed for monitoring information flows and smart contracts. A trusted layer for monitoring and control is crucial for every network and digital infrastructure individually, but also across critical infrastructures, data sharing and smart city platforms.
Application Deadline: September 15, 2024
